Preprocessing Experience Sampling Method (ESM) Data R package esmtools version 1.0.1 Tailored explicitly for Experience Sampling Method (ESM) data, it contains a suite of functions designed to simplify preprocessing steps and create subsequent reporting. It empowers users with capabilities to extract critical insights during preprocessing, conducts thorough data quality assessments (e.g., design and sampling scheme checks, compliance rate, careless responses), and generates visualizations and concise summary tables tailored specifically for ESM data. Additionally, it streamlines the creation of informative and interactive preprocessing reports, enabling researchers to transparently share their dataset preprocessing methodologies. Finally, it is part of a larger ecosystem which includes a framework and a web gallery (<https://preprocess.esmtools.com/>). Software Depends: R (>= 4.0.0) Imports: base64enc (>= 0.1-3), dplyr (>= 1.1.0), DT (>= 0.28), fs (>= 1.6.0), ggplot2 (>= 3.4.0), ggpubr (>= 0.6.0), grDevices, htmltools, jsonlite (>= 1.8.0), kableExtra (>= 1.3.0), knitr (>= 1.43), lubridate (>= 1.9.0), stats, stringr (>= 1.5.0), tidyr (>= 1.3.0), tools Suggests: readxl (>= 1.4.2), spelling, testthat (>= 3.0.0) Jordan Revol <jordan.revol@kuleuven.be> Comprehensive R Archive Network (CRAN) Jordan Revol [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-5511-3617>), Koen Niemeijer [ctb] (ORCID: <https://orcid.org/0000-0002-0816-534X>) GPL (>= 3) 2024-03-13 application/tgz https://CRAN.R-project.org/package=esmtools doi:10.32614/CRAN.package.esmtools en-US